{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Multi-layer FNN on MNIST\n",
    "\n",
    "This is MLP (784-X^W-10) on MNIST. SGD algorithm (lr=0.1) with 100 epoches.\n",
    "\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import os, sys\n",
    "import numpy as np\n",
    "from matplotlib.pyplot import *\n",
    "import locale\n",
    "locale.setlocale(locale.LC_ALL, 'en_US.UTF-8')\n",
    "\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.font_manager as font_manager\n",
    "import seaborn as sns\n",
    "import itertools\n",
    "\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "\"\"\" Extract final stats from resman's diary file\"\"\"\n",
    "def extract_num(lines0):\n",
    "\n",
    "    valid_loss_str     = lines0[-5]\n",
    "    valid_accuracy_str = lines0[-6]\n",
    "    train_loss_str     = lines0[-8]\n",
    "    train_accuracy_str = lines0[-9]\n",
    "    run_time_str       = lines0[-10]\n",
    "\n",
    "    valid_loss     = float(valid_loss_str.split( )[-1])\n",
    "    valid_accuracy = float(valid_accuracy_str.split( )[-1])\n",
    "    train_loss     = float(train_loss_str.split( )[-1])\n",
    "    train_accuracy = float(train_accuracy_str.split( )[-1])\n",
    "    run_time       = float(run_time_str.split( )[-1])\n",
    "    \n",
    "    return valid_loss, valid_accuracy, train_loss, train_accuracy, run_time\n",
    "\n",
    "\"\"\" Extract number of total parameters for each net config from resman's diary file\"\"\"\n",
    "def parse_num_params(line0):\n",
    "    line_str = ''.join(lines0)\n",
    "    idx = line_str.find(\"Total params\")\n",
    "    param_str = line_str[idx+14:idx+14+20] # 14 is the length of string \"Total params: \"\n",
    "    param_num = param_str.split(\"\\n\")[0]\n",
    "    return int(locale.atof(param_num))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Extract results from diary file\n",
    "\n",
    "    1. Number of params\n",
    "    2. Loss/Accuarcy for training/testing\n",
    "    3. Runing time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "results_dir = '../results/fnn_mnist_l2_ni'\n",
    "       \n",
    "depth = [1,2,3,4,5]\n",
    "width = [50,100,200,400]\n",
    "dim   = [0,10,50,100,200,300,350,375,400,425,450,475,500,525,550,575,600,625,650,675,700,725,750,775,800,850,900,1000,1250,1500]\n",
    "\n",
    "\n",
    "########## 1. filename list of diary ########################\n",
    "diary_names = []\n",
    "for subdir, dirs, files in os.walk(results_dir):\n",
    "    for file in files:\n",
    "        if file == 'diary':\n",
    "            fname = os.path.join(subdir, file)\n",
    "            diary_names.append(fname)\n",
    "            \n",
    "\n",
    "########## 2. Construct stats (width, depth, dim) ##########\n",
    "# acc_test_all : Tensor (width, depth, dim)\n",
    "# num_param_all: Tensor (width, depth)\n",
    "# acc_solved_all:  Tensor (width, depth)\n",
    "# dim_solved_all:  Tensor (width, depth)\n",
    "############################################################\n",
    "nw, nd, nn= len(width), len(depth), len(dim)\n",
    "\n",
    "acc_test_all  = np.zeros((len(width), len(depth), len(dim)))\n",
    "num_param_all = np.zeros((len(width), len(depth)))\n",
    "acc_solved_all = np.zeros((len(width), len(depth)))\n",
    "dim_solved_all = np.zeros((len(width), len(depth)))\n",
    "\n",
    "mode = 1         # {0: test loss, 1: test acc}\n",
    "error_files = [] #  record the error file\n",
    "\n",
    "# 2.1 construct acc_test_all and num_param_all\n",
    "for id_w in range(len(width)):\n",
    "    w = width[id_w]\n",
    "    for id_ll in range(len(depth)):\n",
    "        ll = depth[id_ll]\n",
    "        for id_d in range(len(dim)):\n",
    "            d = dim[id_d]\n",
    "            \n",
    "            # 2.1.1 Read the results, \n",
    "            for f in diary_names:\n",
    "                if '_'+str(d)+'_'+str(ll)+'_'+str(w)+'/' in f:\n",
    "                    # print \"%d is in\" % d + f\n",
    "                    \n",
    "                    with open(f,'r') as ff:\n",
    "                        lines0 = ff.readlines()\n",
    "                        try:\n",
    "                            R = extract_num(lines0)\n",
    "                            R = np.array(R)\n",
    "\n",
    "                        except ValueError:\n",
    "                            error_files.append((w,ll,d))\n",
    "                            R = np.zeros(len(R))\n",
    "                            print \"Error. Can not read config: depth %d, width %d and dim %d.\" % (ll, w, d) \n",
    "                            # break\n",
    "                            \n",
    "                            \n",
    "            # 2.1.2 Assign the results\n",
    "            r = R[mode]  \n",
    "            acc_test_all[id_w,id_ll,id_d]=r\n",
    "            if d==0:\n",
    "                num_param_all[id_w,id_ll]=parse_num_params(lines0) \n",
    "                \n",
    "# 2.2 construct acc_solved_all and dim_solved_all           \n",
    "for id_w in range(len(width)):\n",
    "    w = width[id_w]\n",
    "    for id_ll in range(len(depth)):\n",
    "        ll = depth[id_ll]\n",
    "        for id_d in range(len(dim)):\n",
    "            d = dim[id_d]\n",
    "            \n",
    "            r = acc_test_all[id_w,id_ll,id_d]\n",
    "            if d==0:\n",
    "                test_acc_bl = 1.0 # r        \n",
    "                # print \"Acc goal is: \" + str(test_acc_sl) + \" for network with depth \" + str(ll) + \" width \"+ str(w)\n",
    "            else:\n",
    "                test_acc = r\n",
    "                if test_acc>test_acc_bl*0.9:\n",
    "                    acc_solved_all[id_w,id_ll]=test_acc\n",
    "                    dim_solved_all[id_w,id_ll]=d\n",
    "                    # print \"Intrinsic dim is: \" + str(d) + \" for network with depth \" + str(ll) + \" width \"+ str(w)\n",
    "                    # print \"\\n\"\n",
    "                    break\n",
    "                    \n",
    "\n",
    "########## 3. Construct Tensors for Analysis (width, depth, dim) ##########                    \n",
    "acc_base  = acc_test_all[:,:,0]\n",
    "acc_solve = acc_base*0.9\n",
    "                                       "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Baseline results\n",
      "[[ 0.9741  0.9661  0.9627  0.1135  0.1135]\n",
      " [ 0.9806  0.981   0.9799  0.981   0.9812]\n",
      " [ 0.983   0.9838  0.9836  0.9841  0.983 ]\n",
      " [ 0.9834  0.9847  0.9846  0.9854  0.9841]]\n",
      "# Parmas\n",
      "[[  39760.   42310.   44860.   47410.   49960.]\n",
      " [  79510.   89610.   99710.  109810.  119910.]\n",
      " [ 159010.  199210.  239410.  279610.  319810.]\n",
      " [ 318010.  478410.  638810.  799210.  959610.]]\n",
      "Cross-line results\n",
      "[[ 0.9006  0.9015  0.9033  0.9033  0.9027]\n",
      " [ 0.9004  0.9007  0.902   0.9045  0.9035]\n",
      " [ 0.9024  0.9013  0.9031  0.9033  0.9001]\n",
      " [ 0.9019  0.9021  0.902   0.9003  0.9017]]\n",
      "Cross-line Dim\n",
      "[[ 675.  600.  650.  675.  675.]\n",
      " [ 650.  575.  650.  675.  650.]\n",
      " [ 700.  650.  675.  650.  650.]\n",
      " [ 700.  725.  600.  675.  725.]]\n",
      "Dim 1250 results\n",
      "[[ 0.93    0.9342  0.9365  0.9255  0.9305]\n",
      " [ 0.9297  0.931   0.9363  0.9319  0.932 ]\n",
      " [ 0.9265  0.928   0.9321  0.9274  0.9284]\n",
      " [ 0.9218  0.9303  0.9232  0.9286  0.9293]]\n"
     ]
    }
   ],
   "source": [
    "print \"Baseline results\"\n",
    "print acc_test_all[:,:,0]\n",
    "\n",
    "print \"# Parmas\"\n",
    "print num_param_all\n",
    "\n",
    "print \"Cross-line results\"\n",
    "print acc_solved_all\n",
    "\n",
    "print \"Cross-line Dim\"\n",
    "print dim_solved_all\n",
    "\n",
    "print \"Dim %d results\" % dim[-2]\n",
    "print acc_test_all[:,:,-2]  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### List the config of depth and width, which yields errors in training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Error in the following configs: width, depth and dim\n",
      "[]\n",
      "[]\n",
      "[]\n",
      "Shape of accuracy tensor: (1, 1, 30)\n",
      "[ 0.9838  0.1658  0.4475  0.6453  0.7852  0.8387  0.8427  0.8565  0.8636\n",
      "  0.8668  0.865   0.8746  0.8859  0.888   0.8891  0.8953  0.8967  0.8968\n",
      "  0.9013  0.9001  0.906   0.9091  0.9069  0.9064  0.9111  0.9081  0.9178\n",
      "  0.919   0.928   0.9358]\n"
     ]
    }
   ],
   "source": [
    "E_width, E_depth, E_dim = [],[],[]\n",
    "for item in error_files:\n",
    "    E_width.append(item[0]) \n",
    "    E_depth.append(item[1])\n",
    "    E_dim.append(item[2])\n",
    "\n",
    "str_E_width = \"\".join(str(E_width)).replace(',', '')\n",
    "str_E_depth = \"\".join(str(E_depth)).replace(',', '')\n",
    "str_E_dim   = \"\".join(str(E_dim)).replace(',', '')\n",
    "\n",
    "print \"Error in the following configs: width, depth and dim\"\n",
    "print str_E_width\n",
    "print str_E_depth\n",
    "print str_E_dim\n",
    "\n",
    "print \"Shape of accuracy tensor: \" + str(acc_test_all.shape)\n",
    "\n",
    "print str(acc_test_all[0,0,:])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-------------------------"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Check the accuracy of specific depth and width, along different dim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def check_cfg_results (depth, width, lines0): \n",
    "    for d in dim:\n",
    "        # 1. read the results\n",
    "        for f in diary_names:\n",
    "            if '_'+str(d)+'_'+str(depth)+'_'+str(width)+'/' in f:\n",
    "                # print \"%d is in\" % d + f\n",
    "                diary_names_ordered.append(f)\n",
    "                with open(f,'r') as ff:\n",
    "                    lines0 = ff.readlines()\n",
    "                    try:\n",
    "                        # print lines0\n",
    "                        param_num = parse_num_params(lines0)\n",
    "                        R = extract_num(lines0)\n",
    "                        print R[1]\n",
    "\n",
    "                    except ValueError:\n",
    "                        print \"Error: Can not read\"\n",
    "                        break                                               "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Reshape the tensor to 1D for plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[50, 100, 200, 400, 50, 100, 200, 400, 50, 100, 200, 400, 50, 100, 200, 400, 50, 100, 200, 400]\n",
      "[1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5, 5]\n",
      "[[  39760.   42310.   44860.   47410.   49960.]\n",
      " [  79510.   89610.   99710.  109810.  119910.]\n",
      " [ 159010.  199210.  239410.  279610.  319810.]\n",
      " [ 318010.  478410.  638810.  799210.  959610.]]\n",
      "[[ 675.  600.  650.  675.  675.]\n",
      " [ 650.  575.  650.  675.  650.]\n",
      " [ 700.  650.  675.  650.  650.]\n",
      " [ 700.  725.  600.  675.  725.]]\n",
      "[  39760.   79510.  159010.  318010.   42310.   89610.  199210.  478410.\n",
      "   44860.   99710.  239410.  638810.   47410.  109810.  279610.  799210.\n",
      "   49960.  119910.  319810.  959610.]\n",
      "[ 675.  650.  700.  700.  600.  575.  650.  725.  650.  650.  675.  600.\n",
      "  675.  675.  650.  675.  675.  650.  650.  725.]\n"
     ]
    }
   ],
   "source": [
    "\n",
    "\n",
    "fig_width = width*len(depth)\n",
    "fig_depth = list(itertools.chain.from_iterable(itertools.repeat(x, len(width)) for x in depth))\n",
    "\n",
    "print fig_width\n",
    "print fig_depth\n",
    "print num_param_all\n",
    "print dim_solved_all\n",
    "fig_params_1d = num_param_all.reshape(len(depth)*len(width),order='F')\n",
    "dim_solved_all_1d = dim_solved_all.reshape(len(depth)*len(width),order='F')\n",
    "acc_solved_all_1d = acc_solved_all.reshape(len(depth)*len(width),order='F')\n",
    "print fig_params_1d\n",
    "print dim_solved_all_1d"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Testing Accuracy wrt. Width, Depth and Dim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f2498ea26d0>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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gv69bjb+/f4nF0LhxY06eOMba33/Bv1VlqjlF0ahqClMmPktEeCiTJ08ySf2b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ikeeuihswK9/oABA0wxMTGOhQsXtrvxxhsHTp8+feSNN944cOHChe1CfU7FxcXGESNGTExJSbl6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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2499244390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.cm as cm\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.font_manager as font_manager\n",
    "import seaborn as sns\n",
    "\n",
    "plt.figure(figsize=(20,5.0))\n",
    "\n",
    "for i in range(acc_test_all.shape[2]):\n",
    "    acc = acc_test_all[:,:,i].reshape(len(depth)*len(width),order='F')\n",
    "    if i==0:\n",
    "        plt.scatter(fig_params_1d, acc, s=(np.array(fig_width)**1.8)/100, c=fig_depth, edgecolors='k') \n",
    "        plt.scatter(fig_params_1d, 0.9*acc, marker=\"_\", s=300, c='k', edgecolors='r') \n",
    "    else:\n",
    "        plt.scatter(fig_params_1d, acc, s=(np.array(fig_width)**1.8)/100, c=fig_depth, facecolors='None', linewidth=np.array(dim[i])/300.0) \n",
    "\n",
    "        \n",
    "ax = plt.gca()\n",
    "plt.colorbar(label=\"Depth\")\n",
    "\n",
    "ax.set_xscale('log')\n",
    "ax.grid(True)\n",
    "\n",
    "ax.set_ylim(0.8, 1.0)\n",
    "ax.set_xlim(0.3E4, 1.5E6)\n",
    "\n",
    "plt.xlabel('# parameters')\n",
    "plt.ylabel('# accuracy')\n",
    "\n",
    "#make a legend:\n",
    "pws = width\n",
    "for pw in pws:\n",
    "    plt.scatter([], [], s=(pw**1.8)/1000, c=\"k\",label=str(pw))\n",
    "\n",
    "h, l = plt.gca().get_legend_handles_labels()\n",
    "plt.legend(h[0:], l[0:], labelspacing=1.2, title=\"layer width\", borderpad=1, loc='best', bbox_to_anchor=(1.25, 1),\n",
    "             frameon=True, framealpha=0.6, edgecolor=\"k\", facecolor=\"w\")\n",
    "\n",
    " \n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Testing Accuracy of Intrinsic dim for #parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f2496aa2990>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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WmDGhUBiUi8Xtw/Kase7Pv1iwYAGDBg2yOg57WrBgAX+t20Szbo85LQZXdy/qtbqD4SMe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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2499c6cfd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(16,5))\n",
    "\n",
    "font = {'family' : 'normal',\n",
    "        'weight' : 'normal',\n",
    "        'size'   : 16}\n",
    "\n",
    "matplotlib.rc('font', **font)\n",
    "\n",
    "plt.scatter(fig_params_1d, acc_solved_all_1d, s=(np.array(fig_width)**2.0)/100, c=fig_depth, edgecolors='k') \n",
    "\n",
    "ax = plt.gca()\n",
    "plt.colorbar(label=\"Depth\")\n",
    "\n",
    "ax.set_xscale('log')\n",
    "ax.grid(True)\n",
    "\n",
    "ax.set_ylim(0.0, 1.0)\n",
    "ax.set_xlim(0.3E5, 1.5E6)\n",
    "\n",
    "\n",
    "plt.xlabel('# parameters')\n",
    "plt.ylabel('# accuracy')\n",
    "\n",
    "#make a legend:\n",
    "pws = width\n",
    "for pw in pws:\n",
    "    plt.scatter([], [], s=(pw**1.8)/100, c=\"k\",label=str(pw))\n",
    "\n",
    "h, l = plt.gca().get_legend_handles_labels()\n",
    "plt.legend(h[0:], l[0:], labelspacing=1.2, title=\"layer width\", borderpad=1, \n",
    "            frameon=True, framealpha=0.6, edgecolor=\"k\", facecolor=\"w\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Intrinsic dim for #parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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BXNGtC71796ZLly42W8h869at5BsUgfXrVflcvp07sfaJp8nKysLX1/oPwJmZ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\nOpIR4ulCAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f24992a1b90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(16,5))\n",
    "\n",
    "font = {'family' : 'normal',\n",
    "        'weight' : 'normal',\n",
    "        'size'   : 16}\n",
    "\n",
    "matplotlib.rc('font', **font)\n",
    "\n",
    "plt.scatter(fig_params_1d, dim_solved_all_1d, s=(np.array(fig_width)**2.0)/100, c=fig_depth, edgecolors='k') \n",
    "\n",
    "ax = plt.gca()\n",
    "plt.colorbar(label=\"Depth\")\n",
    "\n",
    "ax.set_xscale('log')\n",
    "\n",
    "ax.grid(True)\n",
    "ax.set_ylim(0, 900)\n",
    "\n",
    "plt.xlabel('# model parameters')\n",
    "plt.ylabel('# intrinsic dimension')\n",
    "ax.set_xlim(0.3E5, 1.5E6)\n",
    "\n",
    "#make a legend:\n",
    "pws = width\n",
    "for pw in pws:\n",
    "    plt.scatter([], [], s=(pw**1.8)/100, c=\"k\",label=str(pw))\n",
    "\n",
    "h, l = plt.gca().get_legend_handles_labels()\n",
    "plt.legend(h[0:], l[0:], labelspacing=1.2, title=\"layer width\", borderpad=1, \n",
    "            frameon=True, framealpha=0.6, edgecolor=\"k\", facecolor=\"w\",loc='best')\n",
    "\n",
    "fig.savefig(\"fnn_dim_global_ni.pdf\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Performance comparison with Baseline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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qcDBFkiRJkiRJkiSpDgdTJEmSJEmSJEmS6nAw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nRcddllNDY2EnK5Pf/NS4XakrH83Q8/f4q+954sXTP8e2k0KX7vAXsmHSQ1/PxLLuHOJUuS/+yX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\nkqQKLKZIkiRJkiRJkiRVYDFFk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+H585si4mHg4ZTSDxutU0rpoYj4AnBGRDxJtm7fRfaf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\nBRdckObOnZu+8Y1vpG984xuDzjtr1qzU2dmZtm3b1rfMhQsXD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KLvrN/bbruNU045hT3/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KOi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\nvG6ZJ0DJ58V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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f24999e8cd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(35,25))\n",
    "fig.subplots_adjust(hspace=0.3)\n",
    "\n",
    "font = {'family' : 'normal',\n",
    "        'weight' : 'normal',\n",
    "        'size'   : 16}\n",
    "matplotlib.rc('font', **font)\n",
    "\n",
    "for i in range(nw):\n",
    "    for j in range(nd):\n",
    "        if j>0:\n",
    "            id = i*nd+j+1\n",
    "            ax = plt.subplot(nw, nd, id)\n",
    "\n",
    "            plt.scatter(dim, acc_test_all[i,j,:], edgecolor=\"k\", facecolor=\"w\", s=60 )\n",
    "            ax.plot(dim, acc_test_all[i,j,0]*np.ones(nn)*0.9,'r-.', label=\"Testing: baseline\")\n",
    "            ax.set_xlabel('Intrinsic Dim')\n",
    "            ax.set_ylabel('Accuracy')\n",
    "            ax.set_title('width %d, depth %d' %(width[i], depth[j]))\n",
    "            plt.grid()\n",
    "            ax.set_ylim([-0.1,1.1])\n",
    "\n",
    "fig.savefig(\"fnn_all_configs_ni.pdf\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f24992269d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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aHBykvb19o33t7e0MDg6OUYnMbEvjQL2Z2traGBgY2GjfwMAAbW1tY1QiM9vS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\n258AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2499226110>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(35,18))\n",
    "fig, ax = subplots(figsize=(5,4))\n",
    "\n",
    "font = {'family' : 'normal',\n",
    "        'weight' : 'normal',\n",
    "        'size'   : 16}\n",
    "matplotlib.rc('font', **font)\n",
    "\n",
    "sr = acc_test_all[0,0,0]*0.9\n",
    "\n",
    "plt.scatter(dim[1:], acc_test_all[0,0,1:], edgecolor=\"k\", facecolor=\"w\" )\n",
    "ax.plot(dim, acc_test_all[0,0,0]*np.ones(nn)*sr,'r-.', label=\"Testing: baseline\")\n",
    "ax.set_xlabel('Intrinsic Dimension')\n",
    "ax.set_ylabel('Testing Accuracy')\n",
    "# ax.set_title('width %d, depth %d' %(width[i], depth[j]))\n",
    "plt.grid()\n",
    "ax.set_ylim([-0.1,1.1])\n",
    "# fig.set_size_inches(5, 4)\n",
    "        \n",
    "fig.savefig(\"fnn_mnist_ni.pdf\", bbox_inches='tight')        \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4, 5, 30)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "acc_test_all.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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